Journal: Data in Brief

Article Title: A dataset of a stimulated biceps muscle of electromyogram signal by using rossler chaotic equation

doi: 10.1016/j.dib.2023.109438

Figure Lengend Snippet: The PowerLab 26T device for recoding EMG signal as one channel.

Article Snippet: In the following, the biceps EMG signal was recorded by the Powerlab 26T device And in two last block EMG signal save as matrix in MATLAB software.

Techniques:

Journal: Data in Brief

Article Title: A dataset of a stimulated biceps muscle of electromyogram signal by using rossler chaotic equation

doi: 10.1016/j.dib.2023.109438

Figure Lengend Snippet: The diagram of recording and stimulating based on devises . At first equation derived from Rossler's equation was considered as the stimulation signal. At second and third block of diagram, the extracted stimulation signal with a controllable interface was converted to an analog signal to be exerted on the Biceps muscle (green block) via LabVIEW software and via the National AD Instrument device. The stimulation signal was then synchronized (SYNCHRONIZER block) with the EMG signal. In the following, the biceps EMG signal was recorded by the Powerlab 26T device And in two last block EMG signal save as matrix in MATLAB software.

Article Snippet: In the following, the biceps EMG signal was recorded by the Powerlab 26T device And in two last block EMG signal save as matrix in MATLAB software.

Techniques: Derivative Assay, Blocking Assay, Software

Journal: Journal of Undergraduate Neuroscience Education

Article Title: Quantitative and Qualitative Representation of Introductory and Advanced EEG Concepts: An Exploration of Different EEG Setups

doi: 10.59390/GEBE4090

Figure Lengend Snippet: Summary of EEG hardware and settings specifications.

Article Snippet: The 1-channel and 2-channel setups utilized the PowerLab 26T from A/D instruments with a sampling rate of 1000Hz.

Techniques: Sampling

Journal: Heliyon

Article Title: Development of a real-time RGB-D visual feedback-assisted pulmonary rehabilitation system

doi: 10.1016/j.heliyon.2023.e23704

Figure Lengend Snippet: Diagram of modelling (A) Schematic representation of real-time RGB-D visual feedback-assisted pulmonary rehabilitation system, which consists of a PowerLab 26T spirometer connected to a mouthpiece, Realsense D415 RGB-D camera, and screen (not shown). (B) Both shoulders and hip joints are detected by pose-estimation (red target circles), which is used as a reference plane to define target-tracking regions (black dots). (C) Depth information (along the z-axis of the 3D camera coordinates) of target regions are recorded over time and visualised on a screen to provide real-time visual feedback. Three motion bars (pink rectangles) represent the capacity percentages of left-chest, right-chest, and stomach regions, individually. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

Article Snippet: We thank the Department of Physiology, College of Medicine, 10.13039/501100007750 National Cheng Kung University for the use of their PowerLab 26T spirometer to facilitate our research; the Department of Computer Science and Information Engineering, 10.13039/501100007750 National Cheng Kung University for unwavering support in the use of artificial intelligence techniques; and the Institute of Allied Health Sciences, College of Medicine, 10.13039/501100007750 National Cheng Kung University for advice on rehabilitation guidance and provision of the rehabilitation video.

Techniques: